9 citations · 14 across the 5 of their papers we have counts for
5 papers
A Bayesian semi-parametric model for longitudinal growth and appetite phenotypes in children
Andrea Cremaschi, Beatrice Franzolini, Maria De Iorio +8
This study develops a Bayesian semi-parametric model to examine the longitudinal growth and appetite phenotypes in children from the GUSTO cohort, with a focus on understanding the…
Singularities in Bayesian Inference: Crucial or Overstated?
Maria De Iorio, Andreas Heinecke, Beatrice Franzolini +1
Over the past two decades, shrinkage priors have become increasingly popular, and many proposals can be found in the literature. These priors aim to shrink small effects to zero wh…
Conditional partial exchangeability: a probabilistic framework for multi-view clustering
Beatrice Franzolini, Maria De Iorio, Johan Eriksson
Standard clustering techniques assume a common configuration for all features in a dataset. However, when dealing with multi-view or longitudinal data, the clusters' number, freque…
Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market
Beatrice Franzolini, Alexandros Beskos, Maria De Iorio +2
Reliable estimates of volatility and correlation are fundamental in economics and finance for understanding the impact of macroeconomics events on the market and guiding future inv…
Bayesian clustering of multiple zero-inflated outcomes
Beatrice Franzolini, Andrea Cremaschi, Willem van den Boom +1
Several applications involving counts present a large proportion of zeros (excess-of-zeros data). A popular model for such data is the Hurdle model, which explicitly models the pro…